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java.lang.Objectjava.util.Observable
org.neuroph.core.NeuralNetwork
org.neuroph.nnet.Perceptron
public class Perceptron
Perceptron neural network with some LMS based learning algorithm.
PerceptronLearning,
BinaryDeltaRule,
SigmoidDeltaRule,
Serialized Form| Constructor Summary | |
|---|---|
Perceptron(int inputNeuronsCount,
int outputNeuronsCount)
Creates new Perceptron with specified number of neurons in input and output layer, with Step trqansfer function |
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Perceptron(int inputNeuronsCount,
int outputNeuronsCount,
TransferFunctionType transferFunctionType)
Creates new Perceptron with specified number of neurons in input and output layer, and specified transfer function |
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| Method Summary |
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| Methods inherited from class java.util.Observable |
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addObserver, clearChanged, countObservers, deleteObserver, deleteObservers, hasChanged, notifyObservers, notifyObservers, setChanged |
| Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
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public Perceptron(int inputNeuronsCount,
int outputNeuronsCount)
inputNeuronsCount - number of neurons in input layeroutputNeuronsCount - number of neurons in output layer
public Perceptron(int inputNeuronsCount,
int outputNeuronsCount,
TransferFunctionType transferFunctionType)
inputNeuronsCount - number of neurons in input layeroutputNeuronsCount - number of neurons in output layertransferFunctionType - transfer function type
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